Focusing on shop-floor realities, this chapter surveys today’s most prevalent AI use cases such as predictive maintenance, computer vision quality control, collaborative robotics, digital twins, generative design, and supply chain optimisation. Each example is mapped to the Act’s risk tiers, revealing when additional safeguards (data governance, human oversight) become mandatory. The discussion extends to organisational change, workforce impacts, and environmental considerations, showing how AI is reshaping engineering lifecycles and operational culture. Actionable checklists help readers link technical deployments to regulatory obligations from the outset.